- Exam Code: NS0-901
- Exam Name: NetApp Certified AI Expert Exam
- Updated: Aug 24, 2026
- Q & A: 106 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud and Hybrid Cloud AI Deployment | 18% | - Data mobility and consistency across environments - Cloud-native AI solutions and integration - NetApp cloud data services for AI - Hybrid and multi-cloud AI architectures |
| Topic 2: Security, Reliability, and Operations | 15% | - High availability and data protection - Data security and access control for AI - Monitoring, logging, and troubleshooting AI environments - Cost management and efficiency |
| Topic 3: AI Lifecycle | 27% | - AI lifecycle stages: design, training, deployment, monitoring - Data preparation and management for AI - AI governance, ethics, and compliance - Predictive vs generative AI - Model training, inference, and optimization |
| Topic 4: AI Overview | 15% | - AI deployment models: on-premises, cloud, edge - Convergence of AI, high-performance computing, and analytics - AI industry use cases and applications - AI, machine learning, and deep learning concepts - Algorithm types: supervised, unsupervised, reinforcement learning |
| Topic 5: NetApp AI Solutions and Architecture | 25% | - NetApp AI-ready infrastructure components - ONTAP integration with AI frameworks - Scalability and performance optimization for AI - Storage architectures for AI workloads - Data management and data pipeline design |
1. Which of the following techniques are used to maximize GPU utilization in AI workloads? (Choose two)
A) Scheduling GPU-intensive tasks during off-peak hours
B) Utilizing CPU-based workloads for all tasks
C) Using larger batch sizes
D) Balancing compute and storage workloads efficiently
2. A junior administrator is attempting to delete an old, unused Snapshot copy from a production volume to reclaim space but receives an error. The administrator is certain they are using the correct command and have the appropriate 'vsadmin' role.
The command and error are shown below:
cluster-1::> volume snapshot delete -vserver svm_prod -volume app_data -snapshot nightly.2025- 06-15_0015 Error: command failed: This operation is not permitted. Deletion of Snapshot copy "nightly.2025-
06-15_0015" on volume "app_data" in Vserver "svm_prod" requires approval.
Use the "security multi-admin-verify approval show" command to view pending approvals.
What is the most likely reason the administrator cannot delete the Snapshot?
A) The 'vsadmin' role does not have permission to delete Snapshots.
B) The volume is protected by SnapLock, and the Snapshot has not reached its expiry date.
C) The Snapshot is locked by a SnapMirror relationship.
D) Multi-Admin Verification (MAV) is enabled, and the destructive operation requires approval from another designated administrator.
3. The HPC cluster generates simulation data at an extremely high rate, requiring a storage system that can handle massively parallel writes from hundreds of compute nodes simultaneously. Which storage system and file protocol combination is the most appropriate choice for the HPC cluster's high-performance scratch space?
A) A Cloud Volumes ONTAP instance with a standard file system.
B) A NetApp E-Series system serving a BeeGFS parallel file system.
C) A NetApp StorageGRID system accessed via the S3 protocol.
D) A NetApp ASA system serving a single, large NFS volume.
4. The company decides to establish a disaster recovery (DR) site in a secondary data center for the entire Digital Twin platform. The DR plan must protect the HPC data, the AI training data, and the central data lake.
The DR requirements are:
- RPO: 4 hours for all data.
- RTO: 24 hours for the entire platform.
- Process: The failover and failback process should be as automated as possible.
Which combination of technologies provides the most comprehensive DR solution?
A) Use NetApp SnapMirror for the ASA, StorageGRID's built-in replication for the data lake, and a host- based tool like 'rsync' for the E-Series/BeeGFS data, all orchestrated via BlueXP disaster recovery.
B) Use NetApp SnapMirror for the ASA, StorageGRID replication for the data lake, and rely on tape backups for the E-Series/BeeGFS data.
C) Deploy a MetroCluster configuration spanning the primary and DR sites for all three storage systems.
D) Use BlueXP backup and recovery to back up all three storage systems (ASA, E-Series, StorageGRID) to a single cloud target.
5. An AI training job is running slower than expected. The infrastructure team suspects a compute bottleneck. The job involves processing high-resolution images with a complex convolutional neural network (CNN). They review the logs from the training script.
Epoch 1/100 - 3600s - loss: 1.253 - acc: 0.54
...
CPU_Utilization_During_Epoch: 99% (all cores)
GPU_0_Utilization_During_Epoch: 8%
GPU_1_Utilization_During_Epoch: 7%
...
Epoch 2/100 - 3610s - loss: 1.102 - acc: 0.61
What is the most likely cause of the poor training performance?
A) The storage system cannot deliver data fast enough to the compute node.
B) The network is saturated, preventing the GPUs from receiving data.
C) The training script is CPU-bound, likely performing data augmentation or preprocessing on the CPU instead of offloading it to the GPUs.
D) The model is too simple and does not effectively utilize the GPU's parallel processing capabilities.
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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